SIDCOTech helps organisation to maintain their master data in highest standards to reduce the inventory cost through data cleansing & enrichment to ensure Completeness, Accuracy, Consistency, Uniqueness and reliability in enterprise's inventory database.
Data Cleansing focus on removing incorrect, incomplete, and irrelevant data from material description of existing database, while data enrichment adds new information from manufacturer website to enhance the material description of existing database. SIDCOTech's goal is to create a clean, high-quality database suitable for analysis and decision making in the inventory. SIDCOTech offers the data service to the industries globally through MatMiner software and in-house team.
Following steps are involved in data cleansing & enrichment process.
We can merge all your data into a single master file with common format. Your existing data can be split and formatted for a new data structure. SIDCOTech's final description ensures that data is reliable, accurate and unique in inventory database.
In today’s data driven world, companies recognize data as a powerful asset for decision making. But it is reliable data? How can you assess whether the data of your business relies on is mature and dependable enough to install confidence in your team and drive strategic decision?
SIDCOTech implements 5 key factors into its data service to evaluate and enhance the quality of your data, which will serve as a solid foundation of your organization’s growth and success.
Cost saving – we can save the time and money through eliminate duplicates, streamline procurement and make data driven decision. Data Cleansing should be performed often to improve data quality and reduce costs. The foundation of successful data cleansing is regular data analysis or data audit.
Reducing Stock out – it is also known as out of stock, happens when a business depletes its inventory of a particular item, making it unavailable for immediate use or sale. it’s important to ensure your essential material is on hand to avoid the production delay. You can get more visibility on each material when you have clean & accurate data in your database.
Enhanced searchability – data cleansing leads faster and more efficient search of particular material in database.
